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Exploring the Roles of Self-Efficacy and Technical Support in the Relationship between Techno-Stress and Counter-Productivity

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  • Dae Geun Kim

    (Faculty of New Industry Creation, Daekyeung University, Gyeongsan 38547, Korea)

  • Chang Won Lee

    (School of Business, Hanyang University, Seoul 04763, Korea)

Abstract

Organizational reliance on information and communication technology (ICT) is more likely to induce techno-stress as a detrimental effect, which has a negative impact on productivity. Businesses should make organizational efforts to decrease counter-productivity, a negative effect of techno-stress, to create sustainable productivity by taking advantage of information and communication technology. The purpose of this study was to explore the roles of self-efficacy and technical support as moderating variables in the relationship between techno-stress and counter-productivity. This study selected techno-overload, techno-invasion, techno-complexity, techno-insecurity, and techno-uncertainty as the techno-stress measurement variables, as well as counterproductive work behavior (CWB) and innovation resistance as counter-productive measurement variables. In this study, we surveyed 700 people in the IT sector, manufacturing, services, public agencies, and other industries and used regression analysis to analyze the effects of self-efficacy and technical support. As a result of the analysis, techno-overload, techno-invasion, techno-insecurity, and techno-uncertainty have positive effects on CWB and innovation resistance whereas self-efficacy and technical support have moderating effects on techno-stress and counter-productivity by interacting with techno-overload, techno-insecurity, and techno-uncertainty. We suggest measures to strengthen self-efficacy and technical support for mitigating counterproductive work behavior and innovation resistance.

Suggested Citation

  • Dae Geun Kim & Chang Won Lee, 2021. "Exploring the Roles of Self-Efficacy and Technical Support in the Relationship between Techno-Stress and Counter-Productivity," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4349-:d:535773
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    References listed on IDEAS

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    1. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
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    Cited by:

    1. Pawel Kot, 2022. "Technostress and counterproductive behaviours in an organisation," Technium Social Sciences Journal, Technium Science, vol. 27(1), pages 481-491, January.
    2. Mehmet Akif Çini & Meral Erdirençelebi & Abdullah Zübeyr Akman, 2023. "The Effect of Organization Employees' Perspective on Digital Transformation on Their Technostress Levels and Performance: A Public Institution Example," Central European Business Review, Prague University of Economics and Business, vol. 2023(4), pages 33-57.
    3. V. S. Iswarya & M. Babima & Muhila M. Gnana & R. Dhaneesh, 2024. "An empirical study on the factors causing stress among IT professionals in the urban city of Chennai," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(8), pages 3657-3671, August.

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